A knowledge framework of environment reconstruction methods for mixed reality prototype applications

Aman Kukreja; Mattia Trombini; Chris Cox; Chris Snider

doi:10.1017/pds.2025.10028

A knowledge framework of environment reconstruction methods for mixed reality prototype applications

Aman Kukreja^*
, Mattia Trombini
, Chris Cox
, Chris Snider

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

Mixed reality prototypes are used for applications like design, analysis, and training. They combine high-fidelity overlays on low-fidelity tangible prototypes, giving users physical interactions in virtual environments. Suitable virtual environments are crucial in taking full advantage of these prototypes. However, there is a lack of guidance in the literature on choosing environment reconstruction methods for various applications. The rapid advancements in this area necessitate the characterisation of the reconstruction methods. This paper thus presents a novel knowledge framework for mapping the reconstruction methods with the requirements of MR prototype applications. The aim of the proposed framework is to help designers and engineers make informed decisions. The effectiveness of the framework has been illustrated using five reconstruction methods and testing via four case studies.

Original language	English
Title of host publication	ICED25
Subtitle of host publication	Proceedings of the 25th International Conference on Engineering Design
Publisher	Cambridge University Press
Pages	141-150
Number of pages	10
Volume	5
DOIs	https://doi.org/10.1017/pds.2025.10028
Publication status	Published - 27 Aug 2025
Event	25th International Conference on Engineering Design - University of Texas, Dallas, United States Duration: 11 Aug 2025 → 14 Aug 2025 https://iced.designsociety.org/

Publication series

Name	Proceedings of the Design Society
Publisher	Cambridge University Press
Volume	5
ISSN (Electronic)	2732-527X

Conference

Conference	25th International Conference on Engineering Design
Abbreviated title	ICED25
Country/Territory	United States
City	Dallas
Period	11/08/25 → 14/08/25
Internet address	https://iced.designsociety.org/

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Keywords

computer aided design (CAD)
design for interfaces
digital / digitised engineering value chains
virtual reality
decision making

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10.1017/pds.2025.10028Licence: CC BY-NC-ND

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Kukreja, A., Trombini, M., Cox, C., & Snider, C. (2025). A knowledge framework of environment reconstruction methods for mixed reality prototype applications. In ICED25: Proceedings of the 25th International Conference on Engineering Design (Vol. 5, pp. 141-150). ( Proceedings of the Design Society; Vol. 5). Cambridge University Press. https://doi.org/10.1017/pds.2025.10028

@inproceedings{c7e13913a8ca45b7acb64d33d76b753b,

title = "A knowledge framework of environment reconstruction methods for mixed reality prototype applications",

abstract = "Mixed reality prototypes are used for applications like design, analysis, and training. They combine high-fidelity overlays on low-fidelity tangible prototypes, giving users physical interactions in virtual environments. Suitable virtual environments are crucial in taking full advantage of these prototypes. However, there is a lack of guidance in the literature on choosing environment reconstruction methods for various applications. The rapid advancements in this area necessitate the characterisation of the reconstruction methods. This paper thus presents a novel knowledge framework for mapping the reconstruction methods with the requirements of MR prototype applications. The aim of the proposed framework is to help designers and engineers make informed decisions. The effectiveness of the framework has been illustrated using five reconstruction methods and testing via four case studies.",

keywords = "computer aided design (CAD), design for interfaces, digital / digitised engineering value chains, virtual reality, decision making",

author = "Aman Kukreja and Mattia Trombini and Chris Cox and Chris Snider",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2025.; 25th International Conference on Engineering Design , ICED25 ; Conference date: 11-08-2025 Through 14-08-2025",

year = "2025",

month = aug,

day = "27",

doi = "10.1017/pds.2025.10028",

language = "English",

volume = "5",

series = " Proceedings of the Design Society",

publisher = "Cambridge University Press",

pages = "141--150",

booktitle = "ICED25",

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}

Kukreja, A, Trombini, M, Cox, C & Snider, C 2025, A knowledge framework of environment reconstruction methods for mixed reality prototype applications. in ICED25: Proceedings of the 25th International Conference on Engineering Design. vol. 5, Proceedings of the Design Society, vol. 5, Cambridge University Press, pp. 141-150, 25th International Conference on Engineering Design , Dallas, Texas, United States, 11/08/25. https://doi.org/10.1017/pds.2025.10028

A knowledge framework of environment reconstruction methods for mixed reality prototype applications. / Kukreja, Aman; Trombini, Mattia; Cox, Chris et al.
ICED25: Proceedings of the 25th International Conference on Engineering Design. Vol. 5 Cambridge University Press, 2025. p. 141-150 ( Proceedings of the Design Society; Vol. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - A knowledge framework of environment reconstruction methods for mixed reality prototype applications

AU - Kukreja, Aman

AU - Trombini, Mattia

AU - Cox, Chris

AU - Snider, Chris

PY - 2025/8/27

Y1 - 2025/8/27

N2 - Mixed reality prototypes are used for applications like design, analysis, and training. They combine high-fidelity overlays on low-fidelity tangible prototypes, giving users physical interactions in virtual environments. Suitable virtual environments are crucial in taking full advantage of these prototypes. However, there is a lack of guidance in the literature on choosing environment reconstruction methods for various applications. The rapid advancements in this area necessitate the characterisation of the reconstruction methods. This paper thus presents a novel knowledge framework for mapping the reconstruction methods with the requirements of MR prototype applications. The aim of the proposed framework is to help designers and engineers make informed decisions. The effectiveness of the framework has been illustrated using five reconstruction methods and testing via four case studies.

AB - Mixed reality prototypes are used for applications like design, analysis, and training. They combine high-fidelity overlays on low-fidelity tangible prototypes, giving users physical interactions in virtual environments. Suitable virtual environments are crucial in taking full advantage of these prototypes. However, there is a lack of guidance in the literature on choosing environment reconstruction methods for various applications. The rapid advancements in this area necessitate the characterisation of the reconstruction methods. This paper thus presents a novel knowledge framework for mapping the reconstruction methods with the requirements of MR prototype applications. The aim of the proposed framework is to help designers and engineers make informed decisions. The effectiveness of the framework has been illustrated using five reconstruction methods and testing via four case studies.

KW - computer aided design (CAD)

KW - design for interfaces

KW - digital / digitised engineering value chains

KW - virtual reality

KW - decision making

U2 - 10.1017/pds.2025.10028

DO - 10.1017/pds.2025.10028

M3 - Conference Contribution (Conference Proceeding)

VL - 5

T3 - Proceedings of the Design Society

SP - 141

EP - 150

BT - ICED25

PB - Cambridge University Press

T2 - 25th International Conference on Engineering Design

Y2 - 11 August 2025 through 14 August 2025

ER -

A knowledge framework of environment reconstruction methods for mixed reality prototype applications

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